Development of a control model for predictive control data to extend the process limits of piezokinematic systems for production technology.

开发预测控制数据的控制模型，以扩展生产技术的压电运动系统的过程限制。

• 批准号: 406323989
• 负责人: Professor Dr.-Ing. Welf-Guntram Drossel
• 金额: --
• 依托单位: Fraunhofer-Institut für Werkzeugmaschinen und Umformtechnik (IWU)
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2018
• 资助国家: 德国
• 起止时间: 2017-12-31 至 2020-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/406323989?language=en
• 关键词: Development; control; model; predictive; data

The aim of the project is to develop a predictive control model for highly dynamic piezo axes for use in machine tools. With the aid of the control model to be developed, it should be possible to use the additional axes above the permissible controller bandwith. The control model should be used to predict the position accuratly without having to go through a complex iterative process. This should help to extend the production limits of existing machine tool systems and to increase the flexibility and performance of piezo systems. The modeling shall be based on tactile measured geometry data of manufactured workpieces. By using the workpiece measurement data, dynamic influences from the tool and the workpiece are to be included into the model. For modeling from the workpiece measurement data, suitable methods of system identification must be compared and evaluated with each other. In view of current technological developments, one focus should be put on methods of machine learning with neural networks. For modeling purposes, the measured workpiece data must be transformed into the time, frequency or laplace domain to extract suitable characteristics. The bandwidth of the model is determined by the selected test geometries used for the workpiece machining. In order to increase the model bandwidth, the type of test geometries, the machining speed, the angular alignment of the geometry in the workpiece and the deflection mode of the cutting edge must be varied. A 3-axis machining centre with additional piezo axes is available for teh and verification under process conditions. The necessary reproducibility or time invariance of the machine behaviour is guaranteed.

该项目的目的是开发用于机床的高动态压电轴的预测控制模型。在要开发的控制模型的帮助下，应该可以使用超出允许的控制器带宽的附加轴。控制模型应用于准确地预测位置，而不必经过复杂的迭代过程。这将有助于扩大现有机床系统的生产限制，并增加压电系统的灵活性和性能。建模应基于制造工件的触觉测量几何数据。通过使用工件测量数据，将刀具和工件的动态影响包含到模型中。为了根据工件测量数据进行建模，必须对不同的系统识别方法进行比较和评价。鉴于目前的技术发展，应该把重点放在利用神经网络进行机器学习的方法上。为了建模，必须将被测工件数据转换为时间域、频率域或拉普拉斯域，以提取合适的特征。模型的带宽由工件加工所选择的试验几何形状决定。为了增加模型带宽，必须改变测试几何形状的类型、加工速度、几何形状在工件中的角对中方式和切削刃的偏转方式。具有附加压电轴的三轴加工中心可用于加工条件下的检测和验证。保证了机器行为的必要再现性或时不变性。